压制干扰下雷达网点目标概率多假设跟踪算法

针对压制干扰下雷达网跟踪中使用概率多假设跟踪(PMHT)算法航迹丢失率高的问题,提出了一种基于数据压缩的雷达网点目标概率多假设跟踪(DC-PPMHT)算法.该算法先将各雷达在压制干扰下由于检测概率下降出现目标暂消的量测数据在空间对准后进行串行合并和点迹合成,并计算数据压缩后各量测点迹的检测概率,然后把计算得到的压缩点迹和检测概率送入点目标PMHT滤波器中进行跟踪.DC-PPMHT算法在压制干扰下的雷达网跟踪中可以降低航迹丢失率,提高航迹跟踪的精度.仿真结果表明,与PMHT算法相比,DC-PPMHT算法在各雷达采取抗干扰措施前、后的航迹丢失率分别降低了4.7％和1.2％.

A Tracking Algorithm with Multiple Probabilities Hypothesis for Radar Network Point Target in the Presence of Suppressive Jamming

To solve the high track-loss problem of the probabilistic multiple hypothesis tracking(PMHT) algorithm when it is used in radar network with the presence of suppressive jamming,a tracking algorithm named point target probabilistic multiple hypothesis based on data compression(DC-PPMHT)for radar network is proposed.As a result of signal to interference ratio descending,radar’s measurement temporarily vanishes because of low detection probability in the presence of stand off jamming.The tracking algorithm serially merges and compresses the measurement of radar network after coordinate conversion,and then calculates the detection probability of the compressed measurement.In the end,the radar network tracks the target with compressed data and detection probability using the point target probabilistic multiple hypothesis tracking algorithm.When the proposed tracking algorithm is used,the radar network can reduce the track-loss percentage and improve the precision of target tracking in the presence of stand off jamming.Simulation results show that before and after radars taking anti-jamming measures,radar network’s track-loss percentage of DC-PPMHT is reduced by 4.7 % and by 1.2 % compared with PMHT.